Unleashing the power of WebSockets for real-time Model Inference
Author(s): Vatsal Saglani Originally published on Towards AI. A hands-on guide to serving model inference using sockets GIF by Author A Socket specifies a network address and port via which the application can communicate to the process on the network. Sockets are …
A Beginner’s Guide to Predicting Stock Prices with Machine Learning
Author(s): SPX Originally published on Towards AI. Predicting stock prices is a popular task in the field of finance. It involves forecasting the future value of a company’s stock based on past data and market trends. Many investors use stock price predictions …
Diffusion Models — my “second?” artist.
Author(s): Albert Nguyen Originally published on Towards AI. Diffusion Models are one of the most popular algorithms in Deep Learning. It is widely used in many applications, such as image generation, object detection, and text-to-image generation. In this article, I will explain …
This Article is Bipolar: Role of AI in Education.
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. An article that is either a visionary piece or complete fluff. Depending upon who you are, you will either agree with or end up discarding this article as garbage. There is …
TensorFlow OCR Model for Reading Captchas
Author(s): Rokas Liuberskis Originally published on Towards AI. Training a Custom OCR for Captcha Image Text Extraction with TensorFlow and CTC Loss Function: A Step-by-Step Guide. Using the mltu Library to Simplify the Process https://www.youtube.com/embed/z_6P0PilBmM The Most Advanced Data Science Roadmaps You’ve …
YouTube Dislikes Prediction in Real-time — Working With a Combination of Data; A Practical Guide
Author(s): Nafiu Originally published on Towards AI. Hi everyone, this is a practical guide to a fascinating topic; today, we will discuss how you can work with a combination of mixed data. Well, we have all gone through it when we go …
2022: A Year Full of Amazing AI papers — A Review 🚀
Author(s): Louis Bouchard Originally published on Towards AI. A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code. While the world is still recovering, research hasn’t slowed …
How is Google Aiming At a Trillion Parameter Model (PaLM): Page-by-Page Review
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. PATHWAYS: ASYNCHRONOUS DISTRIBUTED DATAFLOW FOR ML and Scaling Language Modeling with Pathways This time I was going to deviate from a usual 1 paper 1 review approach to 2 papers 1 …
EHR-Safe by Google: A High-Fidelity and Privacy-Preserving Synthetic Data Framework: Page by Page Research Review
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. EHR-Safe: Generating High-Fidelity and Privacy-Preserving Synthetic Electronic Health Records https://doi.org/10.21203/rs.3.rs-2347130/v1 Privacy concerns often arise as the key bottleneck for the sharing of data between consumers and data holders, particularly for sensitive …
Foundation Models and the Path Towards a Universal Learning Algorithm
Author(s): Jesus Rodriguez Originally published on Towards AI. Can foundation models validate the theory of a master algorithm for all human knowledge? Created with: DALL-E I recently started an AI-focused educational newsletter, that already has over 150,000 subscribers. TheSequence is a no-BS …
Logistic Regression Math Intuitions
Author(s): Fernando Guzman Originally published on Towards AI. Logistic regression is a supervised machine learning algorithm to create models used for binary classification problems conventionally. Even that in its name, it says regression. This algorithm is used to train models for classification …
Key Takeaways For Successful Transition To Data Science From My Journey
Author(s): Himanshu Joshi Originally published on Towards AI. Taking the leap of faith -Photo by Joshua Earle on Unsplash I am a Lead Data Scientist at a Service based IT company with 11+ years of professional experience. I am a self-taught Data …
Data Warehouse Concepts; Architecture; Data Warehouse vs. Database; OLAP vs. OLTP
Author(s): Muttineni Sai Rohith Originally published on Towards AI. Data Warehouse is an information system that contains historical and commutative data from single or multiple sources. It is a centralized storage system that allows storing, analyzing, and interpretation of data in order …
Data Structures: How Computers Store and Organize Data — The Backbone
Author(s): SPX Originally published on Towards AI. Top highlight Image Source Data in computer systems is essentially any type of information that can be processed and stored by a computer. This can include numbers, letters, sounds, images, and more. In order to …